Analysing image…
Insights on image forensics, ELA analysis, metadata, deepfakes, and digital authenticity.
Roughly one biomedical paper in 25 contains an inappropriately duplicated image, and peer reviewers almost never spot them. This guide covers the four routes fake figures take into journals, the software and volunteer sleuths that catch them, and the checks you can run on a suspicious figure yourself.
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Stock libraries now hold millions of AI-generated assets, and the labels meant to flag them run largely on an honor system. This guide walks through the two-minute check that catches most of them: license page first, metadata second, pixels third. It also covers what an unlabeled AI image actually costs a brand, from consumer trust to the EU disclosure rules landing in August 2026.
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Finding a fabricated photo of yourself online is disorienting, and the instinct to panic-delete makes removal harder. This guide walks through the exact sequence that works: capturing evidence, proving the image is fake, reporting it under the right category, blocking re-uploads, and escalating under the law that covers your country.
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Remote hiring has quietly turned into an identity problem, and reference calls were never designed to catch it. This guide walks a hiring team through the actual checks: reverse image search and metadata on the headshot, error level analysis on the file, live movement tests that still break face-swap software, and how to run all of it uniformly without creating a discrimination claim.
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A convincing fake photo can travel the world before the truth gets its boots on. This guide shows you how to fact-check a viral political or celebrity photo fast: reverse-searching the image, tracing its origin, reading the AI tells, and running a quick pixel check. You'll learn to catch fakes before you become the person who shared one.
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AI-generated images have become the newest weapon in scams aimed at older adults, from fake sweethearts to deepfaked grandchildren in trouble. This family guide breaks down the exact fakes to watch for, the red flags that still give them away, and one simple verification habit that stops the scam cold.
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